LLM Framework

LLM frameworks are designed to harness the power of large language models (LLMs) for diverse applications beyond traditional text processing, focusing on improving efficiency, accuracy, and usability. Current research emphasizes enhancing LLMs for specific domains (e.g., healthcare, education, robotics) through techniques like multi-agent collaboration, retrieval-augmented generation (RAG), and integration with other AI methods (e.g., knowledge graphs, diffusion models). These advancements are significantly impacting various fields by automating complex tasks, improving decision-making processes, and creating more intuitive interfaces for human-computer interaction.